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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmu Pertanian Indonesia Journal of Engineering and Management in Industrial System Jurnal Ilmiah Teknik Industri International Journal of Artificial Intelligence Research Jurnal Sistem dan Manajemen Industri Journal of Industrial Engineering Management JATI UNIK : Jurnal Ilmiah Teknik dan Manajemen Industri Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal INTECH Teknik Industri Universitas Serang Raya Jurnal Logistik Indonesia Jurnal Teknik Industri Terintegrasi (JUTIN) JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Indonesian Journal of Industrial Engineering & Management Jurnal Sains Indonesia Go-Integratif : Jurnal Teknik Sistem dan Industri Jurnal Sains Terapan : Wahana Informasi dan Alih Teknologi Pertanian Jurnal Pengabdian Masyarakat Bhinneka JURNAL TEKNIK INDUSTRI The Journal Of English Teaching For Young And Adult Learners Indonesian Research Journal on Education AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan Journal of Applied Science, Technology & Humanities
Sesar Husen Santosa
College Of Vocational Studies, IPB University
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Pelatihan Cara Penyajian Makanan yang Baik dalam Upaya Peningkatan Kinerja Pemasaran Produk UMKM Warung Nasi Kota Bogor Sesar Husen Santosa; Heryudianto Vibowo; Agung Prayudha Hidayat; Ridwan Siskandar; Khoirul Aziz Husyairi; Bayu Suriaatmaja Suwanda; Annisa Rizkiriani
JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Vol. 5 No. 2 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v5i2.1498

Abstract

Rice stalls are one of the Small and Medium Enterprises (SMEs) that have significantly contributed to efforts to improve the economy. This community service activity aims to increase the ability of SME rice stalls in Bogor to manage Good Food Production Methods (CPMB) to improve marketing performance. The results of the pre-test and post-test identification revealed three potential rice stalls. The evaluation results for the training activities showed that there were three possible rice stalls with the highest post-test results, namely the Pa de Umar rice stall (score 80.00), Kabita (score 73.33), and Selamat (score 70.00). Based on the three rice stalls above, selecting potential rice stalls for mentoring activities was carried out using the Bayes method, and the Pa de Umar Rice Stall was chosen with an alternative value of 4.40. Implementing the CPMB training is expected to increase the understanding and knowledge of Bogor City rice stall participants so that business actors can improve business performance and profits.
Peningkatan Awareness Implementasi 5R pada UMKM Sepatu di Desa Mulyaharja Kota Bogor Pangestu, Fattah Jati; Hidayat, Agung Prayudha; Kartinawati, Annisa; Dardanella, Derry; Rahmawati, Novia; Santosa, Sesar Husen; Indrawan, Purana; Apriliani, Fany; Yusri, Doni; Sinaga, Antonya Rumondang; Pamungkas, Genta Yoga
Jurnal Pengabdian Masyarakat Bhinneka Vol. 4 No. 2 (2025): Bulan November
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v4i2.814

Abstract

Pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kesadaran pelaku Usaha Mikro, Kecil, dan Menengah (UMKM) sepatu di Desa Mulyaharja, Kota Bogor, terhadap penerapan budaya kerja 5R (Ringkas, Rapi, Resik, Rawat, dan Rajin) sebagai upaya peningkatan efisiensi operasional dan keberlanjutan usaha. Kegiatan ini menggunakan pendekatan partisipatif dengan metode identifikasi kebutuhan, pelatihan, serta evaluasi berbasis pre-test dan post-test. Sebanyak 15 karyawan UMKM terlibat sebagai responden, menunjukkan peningkatan signifikan dari nilai rata-rata pre-test sebesar 35 menjadi 95 pada post-test. Hasil observasi menunjukkan adanya peningkatan dalam awareness implementasi 5R di lingkungan kerja. Program ini membuktikan bahwa implementasi budaya kerja 5R dapat dilakukan secara sederhana, efektif, dan tanpa memerlukan biaya tambahan yang signifikan. Oleh karena itu, disarankan agar program serupa dilaksanakan secara berkala, didukung oleh pembentukan tim internal 5R dan pendampingan berkelanjutan dari perguruan tinggi, guna menjamin keberlanjutan implementasi serta menjadikan Mulyaharja sebagai model bagi UMKM sektor lainnya.
Determining Mocaf Production Quantity Using Sugeno's Fuzzy Model: Analyzing Slicing Machine Effectiveness and Raw Material Forecasting in SMEs Santosa, Sesar Husen Santosa; Hidayat, Agung Prayudha Hidayat; Siskandar, Ridwan Siskandar
JURNAL TEKNIK INDUSTRI Vol. 15 No. 3 (2025): November 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v15i3.22211

Abstract

The production of Mocaf flour in small and medium enterprises (SMEs) is influenced by the effectiveness of cassava slicing machines in ensuring the availability of raw materials during the fermentation process. Slicing cassava is often problematic because the tools used are not of good quality, causing the cassava to crumble. This problem requires the identification of the effectiveness of cassava slicing machines in Mocaf flour production. The effectiveness of the cassava slicing machine can be measured using the Overall Equipment Effectiveness (OEE) method, and the values obtained are availability = 91%, Performance = 78%, Quality Yield = 0.99, and OEE = 0.71. The results of the selected forecasting, namely Double Moving Average with n = 2, MAPE = 4,54 %, show that the predicted production of cassava slices is 1428.57 kg. The OEE results and production forecasting then become the basis for developing the Sugeno fuzzy model to determine the amount of mocaf flour production in SMEs. The results of Sugeno fuzzy defuzzification with the OEE membership set production forecasting and triangular membership type showed that the mocaf flour production was 450 kg. Based on the production of mocaf flour of 450 kg, with a yield of 28%, the cassava raw material that must be ordered from the supplier is 1428,57 kg.
INTEGRATION ADAPTIVE NEURO FUZZY INFERENCE SYSTEM AND HYPOTHESIS TESTING IN CHICKEN EGG INVENTORY PREDICTION Santosa, Sesar Husen; Hidayat, Agung Prayudha; Siskandar, Ridwan; Rizkiriani, Annisa
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 14 No. 1 (2026): In Process
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

Accumulation of egg stock in warehouses is currently the biggest problem of product loss due to damage to egg agents. This problem occurs partly because egg agents in Bogor cannot predict final inventory availability, so the number of egg orders exceeds storage capacity and is damaged due to being stored in the warehouse for too long. A prediction model for the final stock availability of eggs (crates) was developed. The prediction model for the final stock availability was based on the number of egg agents ordering from suppliers and the selling price of eggs using the Adaptive Neuro Fuzzy Inference System (ANFIS). The ANFIS model uses three variables: orders to suppliers, selling prices, and inventory, with 50 training data points and 30 testing data points, namely, orders to suppliers, selling prices, and inventory. Based on the results of training and testing data, it was found that the range of the Sugeno fuzzy model for the supplier order variable was 150 - 350 cases, and the selling price was IDR 24,000/kg - 29,500/kg with a fuzzy triangular membership set. The simulation results show testing and training data with epoch = 100 using fuzzy Sugeno, and the error value = 13.7. The results of the training model's determination test (R2) obtained a value of R² = 81.02%, and the testing model had a value of R² = 81.23%. The determination value (R²) above 80% indicate that the model is suitable for predicting the final stock amount for egg agents.
Integrated Inventory Control Analysis through Demand Forecasting and Probabilistic Stock Modelling Sesar Husen Santosa; Agung Prayudha Hidayat
Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 5 (2025): November 2025
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/16281v86

Abstract

This study addresses the problem of excess chicken egg inventory at agent warehouses caused by the mismatch between fluctuating demand and incoming supply, which frequently leads to product damage and financial losses. The research aims to design an inventory control policy based on demand forecasting and probabilistic inventory modelling to determine an ideal stock level. A quantitative approach is employed by first applying the two‑period Moving Average method, which produces an MSE of 6.17 and a MAPE of 0.10 with a forecast of 65 crates for the ninth period, and then integrating these forecasts into a probabilistic inventory model at a significance level of  to obtain a reorder point of 214 crates and a safety stock of 60 crates. The results show that this integrated approach enables the agent to trigger replenishment precisely when on‑hand inventory reaches the reorder point, thereby maintaining an adequate service level while reducing overstock and the risk of spoilage. The combined use of a quantitative forecasting model and a probabilistic inventory framework constitutes the main contribution of this study, offering an integrated decision support scheme for determining both the optimal order timing and the appropriate buffer stock level in a perishable‑goods context.
Evaluasi Kinerja Pengelolaan Persediaan Finished Goods dengan Metode SCOR DS Frea Marva Zerlinda; Fattah Jati Pangestu; Agung Prayudha Hidayat; Sesar Husen Santosa
AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan Vol. 3 No. 4 (2026): Jurnal AI dan SPK : Jurnal Artificial Inteligent dan Sistem Penunjang Keputusan
Publisher : CV. Shofanah Media Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Finished goods warehouse management plays a crucial role in ensuring the smooth distribution process within manufacturing companies. This study aims to evaluate inventory management performance to address the phenomenon of overcapacity resulting from inventory buildup. The evaluation was conducted using the Supply Chain Operations Reference Digital Standard (SCOR DS) framework. Through a breakdown analysis, it was found that the strategic metric Cash-to-Cash Cycle Time had the lowest performance, caused by the critical value of the operational metric Inventory Days of Supply, which was 0.03978. This finding proves that the length of time goods remain in the warehouse due to the absence of a standardized inventory movement classification system is the main cause of overcapacity. The research recommendations focus on synchronizing capacity planning to reduce storage duration and optimize warehouse space utilization.
Co-Authors Agung Prayudha Hidayat Aldiyansyah Aleida, Silvera Marsya Ananda, Dea Angga Eben Ezer Annisa Kartinawati Antonio Banggas Gregory Sinaga Apristio Faza Ridhar Rahman Aqim Try Kurnia Ardani, Ilham Azka Khairani Marisda Bachtiar, Willy Barokah, Wuliddah Tamsil Bayu Suriaatmaja Suwanda Bayu Suriaatmaja Suwanda Bayyinah, Aulia Nabil Billi Rifa Kusumah Bintang Aprilio Dardanella, Derry Derry Dardanella Divo Wibowo Adi Doni Yusri Fany Apriliani Faqihhudin, Muhammad Raka Fattah Jati Pangestu Fauzan Naufal Gibran Fionando Emir Satriadana Firman Muhammad Basar Frea Marva Zerlinda Ghailan Arhab Hafiz Agi Alfasih Hendri Wijaya, Hendri Herti Herti Heryudianto Vibowo Hidayat, Agung Prayudha Hidayat Husyairi, Khoirul Aziz Iklima Istiqomah Ilham Ardani Indrawan, Purana Irfan Tigranaufal Nugraha Irmansyah Irmansyah Irzaman, Irzaman Jimmy Mohamad Alpino Anak Gumay Keinanjung Ruswandi Laily Rochmatul Charky Lutfi Aziz Febrika Ardy Madyananda, Fauzaan Fadhlurrohman Marithasari, Harries Mohammad Akbar Alfa Dirk Steyer Muhamad Raihan Afarel Nadji Baraba Muhamad Zikri Abdillah Muhammad Al-Ghifari Muhammad Danang Mukti Darmawan Muhammad Danang Mukti Darmawan Muhammad Fakhri Alauddin Muhammad Habiburrahman, Muhammad Muhammad Ifan Al Aziz Nabil Bayyinah, Aulia Nalanaya, Nalanaya Nanda Octavia Nanda Octavia Nayla Cahya Kamila Nerol, Ivan De Noer A Indrawan Nourma Ayuadika Novia Rahmawati Pamungkas, Genta Yoga Pane, Nelson Andreas Pangestu, Fattah Jati Prayuda Hidayat, Agung Putri, Stevani Rafiq Rizki Prabowo Refiansyah Nur Renny Soelistiyowati Revanda Arifia Ridwan Siskandar Rina Martini Ringga Gilang Baskoro Rizkiriani, Annisa Robby Priaji Sakti Savanah, Khadijah Meutia Septiyaningsih, Lutfi Sinaga, Antonya Rumondang Siskandar, Ridwan Siskandar Sista Naelly Adzimi Siti Aisyah Suhendar Sulaeman Suhendi Irawan Sulaeman, Suhendar Susanti, Raskia Suwanda, Bayu Suriaatmaja Tiara Safitrah Vina Puspitasari Wiyanto, Renhard Cornelis Wiyoto Wiyoto Zahran, Fadhil Rizqi Az Zaki Rafi Athallah